Pai S Anoosha, Gatti Anthony A, Black Marianne S, Young Katherine A, Desai Arjun D, Barbieri Marco, Asay Jessica L, Sherman Seth L, Gold Garry E, Kogan Feliks, Hargreaves Brian A, Chaudhari Akshay S
Department of Bioengineering, Stanford University, Stanford, California, USA.
Department of Radiology, Stanford University, Stanford, California, USA.
J Magn Reson Imaging. 2025 Jun;61(6):2615-2629. doi: 10.1002/jmri.29689. Epub 2024 Dec 30.
Post-traumatic osteoarthritis (PTOA) often follows anterior cruciate ligament reconstruction (ACLR), leading to early cartilage degradation. Change in mean T fails to capture subject-specific spatial-temporal variations, highlighting the need for robust quantitative methods for early PTOA detection and monitoring.
PURPOSE/HYPOTHESIS: Develop and apply 3D T cluster analysis to ACLR and healthy knees over 2.5 years.
Longitudinal case-control study.
ACLR and contralateral knees of 15 subjects (9 male/6 female, 37.7 ± 10 years) and right knee of 15 matched controls (9 male/6 female, 37.1 ± 12 years) were scanned at 3 weeks, 3, 9, 18, and 30 months post-ACLR.
3 T Quantitative double echo steady state sequence.
"T cluster analysis" was developed, incorporating registration and thresholding methods to identify and quantify elevated T regions (T clusters, TC) in femoral cartilage. Percentage of cartilage covered by T clusters (TC), mean cluster size (TC), the number of clusters (TC), and ΔTMean (change in mean femoral cartilage T relative to visit 1) were computed for all knees.
A linear mixed model assessed knee, time, and knee-time interaction effects on each outcome metric (P < 0.05), with effect sizes (η ) describing the sensitivity of these effects to longitudinal changes.
TC (η = 0.22), TC, (η = 0.14), and TC (η = 0.51) showed significant and systematic difference between knees (ACLR > contralateral > control). TC (η = 0.24), TC (η = 0.17), and TC (η = 0.11) showed significant longitudinal change across all knees. Specifically, ACLR knees exhibited a significant increase in TC (η = 0.21), TC (η = 0.13), and a decrease in TC (η = 0.07) with time. ΔTMean showed significant difference between knees (η = 0.15), increase with time (η = 0.04), with no significant knee-time interaction (η = 0.00, P = 0.772 [contralateral], P = 0.482 [control]).
TC metrics are more sensitive than ΔTMean for longitudinal monitoring of femoral cartilage post ACLR. Our findings suggest potential merging of T clusters overtime, forming larger areas of cartilage degradation in ACLR knees.
1 TECHNICAL EFFICACY: Stage 2.
创伤后骨关节炎(PTOA)常发生在前交叉韧带重建(ACLR)之后,导致早期软骨退变。平均T值的变化未能捕捉到个体特异性的时空变化,这凸显了需要强大的定量方法来早期检测和监测PTOA。
目的/假设:开发并应用三维T值聚类分析,对ACLR患者和健康膝关节进行为期2.5年的研究。
纵向病例对照研究。
15名受试者(9名男性/6名女性,37.7±10岁)的ACLR膝关节和对侧膝关节,以及15名匹配对照者(9名男性/6名女性,37.1±12岁)的右膝关节在ACLR术后3周、3个月、9个月、18个月和30个月进行扫描。
3T定量双回波稳态序列。
开发了“T值聚类分析”,结合配准和阈值化方法,以识别和量化股骨软骨中T值升高的区域(T值聚类,TC)。计算所有膝关节中被T值聚类覆盖的软骨百分比(TC)、平均聚类大小(TC)、聚类数量(TC)以及ΔTMean(相对于第1次随访时股骨软骨平均T值的变化)。
采用线性混合模型评估膝关节、时间以及膝关节-时间交互作用对每个结果指标的影响(P<0.05),效应大小(η)描述这些效应对纵向变化的敏感性。
TC(η=0.22)%、TC(η=0.14)%和TC(η=0.51)在膝关节之间显示出显著且系统性的差异(ACLR>对侧>对照)。TC(η=0.24)、TC(η=0.17)和TC(η=0.11)在所有膝关节中均显示出显著的纵向变化。具体而言,ACLR膝关节的TC(η=0.21)%、TC(η=0.13)%随时间显著增加,而TC(η=0.07)%随时间下降。ΔTMean在膝关节之间显示出显著差异(η=0.15),随时间增加(η=0.04),且无显著的膝关节-时间交互作用(η=0.00,P=0.772[对侧],P=0.482[对照])。
TC指标在纵向监测ACLR术后股骨软骨方面比ΔTMean更敏感。我们的研究结果表明,随着时间的推移,T值聚类可能会合并,在ACLR膝关节中形成更大的软骨退变区域。
1技术效能:2级。